Task
Supervised Classification on pasture

Supervised Classification on pasture

Task 4532 Supervised Classification pasture 215 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

215 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8064, kappa: 0.5605, kb_relative_information_score: 172.3825, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8055, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.811, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7657, kappa: 0.4706, kb_relative_information_score: 159.6335, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7648, predictive_accuracy: 0.7667, prior_entropy: 0.9268, recall: 0.7667, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9916, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8539, kappa: 0.6681, kb_relative_information_score: 157.6442, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8537, predictive_accuracy: 0.8556, prior_entropy: 0.9268, recall: 0.8556, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7311, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8412, kappa: 0.6415, kb_relative_information_score: 188.1571, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8408, predictive_accuracy: 0.8417, prior_entropy: 0.9268, recall: 0.8417, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7478, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8089, kappa: 0.5714, kb_relative_information_score: 190.7534, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8096, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7927, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.879, kappa: 0.7249, kb_relative_information_score: 181.6554, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9268, recall: 0.8806, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6752, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.879, kappa: 0.7249, kb_relative_information_score: 181.6554, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9268, recall: 0.8806, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6752, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8064, kappa: 0.5605, kb_relative_information_score: 172.3825, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8055, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.811, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7657, kappa: 0.4706, kb_relative_information_score: 159.6335, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7648, predictive_accuracy: 0.7667, prior_entropy: 0.9268, recall: 0.7667, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9916, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 940.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 859.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8539, kappa: 0.6681, kb_relative_information_score: 157.6442, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8537, predictive_accuracy: 0.8556, prior_entropy: 0.9268, recall: 0.8556, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7311, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8412, kappa: 0.6415, kb_relative_information_score: 188.1571, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8408, predictive_accuracy: 0.8417, prior_entropy: 0.9268, recall: 0.8417, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7478, scimark_benchmark: 763.3895, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.879, kappa: 0.7249, kb_relative_information_score: 181.6554, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9268, recall: 0.8806, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6752, scimark_benchmark: 938.988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8561, kappa: 0.6724, kb_relative_information_score: 179.5288, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8565, predictive_accuracy: 0.8583, prior_entropy: 0.9268, recall: 0.8583, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6976, scimark_benchmark: 917.5013, usercpu_time_millis: 580, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8422, kappa: 0.641, kb_relative_information_score: 175.7671, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8422, predictive_accuracy: 0.8444, prior_entropy: 0.9268, recall: 0.8444, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7068, scimark_benchmark: 932.438, usercpu_time_millis: 260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8505, kappa: 0.6595, kb_relative_information_score: 176.6218, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8507, predictive_accuracy: 0.8528, prior_entropy: 0.9268, recall: 0.8528, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.7094, scimark_benchmark: 934.695, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8599, kappa: 0.6822, kb_relative_information_score: 179.2901, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8595, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.7018, scimark_benchmark: 939.682, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.846, kappa: 0.6512, kb_relative_information_score: 172.7021, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8455, predictive_accuracy: 0.8472, prior_entropy: 0.9268, recall: 0.8472, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7377, scimark_benchmark: 920.3788, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7997, kappa: 0.5439, kb_relative_information_score: 184.9296, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.799, predictive_accuracy: 0.8028, prior_entropy: 0.9268, recall: 0.8028, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9146, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7997, kappa: 0.5439, kb_relative_information_score: 184.3067, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.799, predictive_accuracy: 0.8028, prior_entropy: 0.9268, recall: 0.8028, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9183, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8028, kappa: 0.5513, kb_relative_information_score: 186.8774, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.802, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9093, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8094, kappa: 0.5678, kb_relative_information_score: 191.9423, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8086, predictive_accuracy: 0.8111, prior_entropy: 0.9268, recall: 0.8111, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.89, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8202, kappa: 0.5915, kb_relative_information_score: 202.8524, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8195, predictive_accuracy: 0.8222, prior_entropy: 0.9268, recall: 0.8222, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8379, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.5333, kb_relative_information_score: -4.0198, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0052, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8369, kappa: 0.6351, kb_relative_information_score: 219.7422, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8381, predictive_accuracy: 0.8361, prior_entropy: 0.9268, recall: 0.8361, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8565, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8218, kappa: 0.5983, kb_relative_information_score: 211.1468, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8215, predictive_accuracy: 0.8222, prior_entropy: 0.9268, recall: 0.8222, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8729, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8378, kappa: 0.6329, kb_relative_information_score: 221.5547, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8373, predictive_accuracy: 0.8389, prior_entropy: 0.9268, recall: 0.8389, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8333, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8378, kappa: 0.6329, kb_relative_information_score: 222.7751, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8373, predictive_accuracy: 0.8389, prior_entropy: 0.9268, recall: 0.8389, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.8205, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8115, kappa: 0.5768, kb_relative_information_score: 199.4249, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8119, predictive_accuracy: 0.8111, prior_entropy: 0.9268, recall: 0.8111, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8831, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.815, kappa: 0.5805, kb_relative_information_score: 198.3549, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8142, predictive_accuracy: 0.8167, prior_entropy: 0.9268, recall: 0.8167, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.879, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8637, kappa: 0.6931, kb_relative_information_score: 154.5552, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8636, predictive_accuracy: 0.8639, prior_entropy: 0.9268, recall: 0.8639, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7196, scimark_benchmark: 931.7994, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.881, kappa: 0.7284, kb_relative_information_score: 176.5491, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8828, predictive_accuracy: 0.8833, prior_entropy: 0.9268, recall: 0.8833, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6997, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8038, kappa: 0.5551, kb_relative_information_score: 171.9615, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8029, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8128, scimark_benchmark: 906.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7657, kappa: 0.4706, kb_relative_information_score: 159.6335, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7648, predictive_accuracy: 0.7667, prior_entropy: 0.9268, recall: 0.7667, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9916, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 890.5596, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 917.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8539, kappa: 0.6681, kb_relative_information_score: 157.6442, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8537, predictive_accuracy: 0.8556, prior_entropy: 0.9268, recall: 0.8556, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7311, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8412, kappa: 0.6415, kb_relative_information_score: 188.1571, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8408, predictive_accuracy: 0.8417, prior_entropy: 0.9268, recall: 0.8417, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7478, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8089, kappa: 0.5714, kb_relative_information_score: 190.7534, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8096, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7927, scimark_benchmark: 901.8743, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.879, kappa: 0.7249, kb_relative_information_score: 181.6554, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9268, recall: 0.8806, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6752, scimark_benchmark: 928.8135, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 945.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8038, kappa: 0.5551, kb_relative_information_score: 171.9615, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8029, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8128, scimark_benchmark: 937.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 1359.7293, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.879, kappa: 0.7249, kb_relative_information_score: 181.6554, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9268, recall: 0.8806, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6752, scimark_benchmark: 1327.5842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8064, kappa: 0.5605, kb_relative_information_score: 172.3825, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8055, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.811, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8412, kappa: 0.6415, kb_relative_information_score: 188.1571, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8408, predictive_accuracy: 0.8417, prior_entropy: 0.9268, recall: 0.8417, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7478, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8089, kappa: 0.5714, kb_relative_information_score: 190.7534, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8096, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7927, scimark_benchmark: 1320.8283, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.879, kappa: 0.7249, kb_relative_information_score: 181.6554, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9268, recall: 0.8806, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6752, scimark_benchmark: 1335.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8064, kappa: 0.5605, kb_relative_information_score: 172.3825, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8055, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.811, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7657, kappa: 0.4706, kb_relative_information_score: 160.5309, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7648, predictive_accuracy: 0.7667, prior_entropy: 0.9268, recall: 0.7667, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9911, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.844, kappa: 0.6436, kb_relative_information_score: 173.3541, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8451, predictive_accuracy: 0.8472, prior_entropy: 0.9268, recall: 0.8472, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7537, scimark_benchmark: 1337.4384, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 1352.9101, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 1292.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8539, kappa: 0.6681, kb_relative_information_score: 157.6442, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8537, predictive_accuracy: 0.8556, prior_entropy: 0.9268, recall: 0.8556, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7311, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.879, kappa: 0.7249, kb_relative_information_score: 181.6554, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9268, recall: 0.8806, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6752, scimark_benchmark: 1303.9481, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 1344.0499,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs